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This repository provides a comprehensive exploration of Deutsch’s Algorithm within the realm of quantum computing

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Exploring Deutsch’s Algorithm

Executive Summary

This repository provides a comprehensive exploration of Deutsch’s Algorithm within the realm of quantum computing. It includes two notebooks detailing the implementation and understanding of this fundamental quantum algorithm, using Qiskit for practical demonstrations and also tasks given to us.

Contents

  • project.ipynb: A Jupyter notebook which demonstrates research/learning and representation of Basic Quantum Computing and Deutsch’s Algorithm.
  • tasks.ipynb: A Jupyter notebook encompassing various tasks associated with each topic covered in the module. This includes setup instructions, theoretical explanations.
  • README.md: Provides an overview of the project and instructions for setup and usage.

Getting Started

Prerequisites

Before starting, ensure you have the following installed:

  • Python 3.x
  • Jupyter Notebook
  • Qiskit

Installing Python 3.x

Python 3.x can be installed from the official Python website. Here's how you can do it:

For Windows:

  1. Visit the official Python website.
  2. Download the latest version of Python 3.x for Windows.
  3. Run the installer. Ensure that you check the box that says "Add Python 3.x to PATH" before you click "Install Now".

For macOS:

  1. Visit the official Python website.
  2. Download the latest version of Python 3.x for macOS.
  3. Open the downloaded file and follow the installation instructions.

Installing Jupyter Notebook

Once Python is installed, you can install Jupyter Notebook using pip, Python's package manager. Here's how to do it:

  1. Open your command line or terminal.

  2. Install Jupyter Notebook by running:

    pip install notebook
  3. Run Notebook

    jupyter notebook
    

Installing Qiskit

Qiskit is an open-source quantum computing software development framework. Follow these steps to install Qiskit:

  1. Ensure that Python 3.x is already installed on your system.

  2. Open your command line or terminal.

  3. Install Qiskit by running:

    pip install qiskit
    pip install matplotlib
    pip install qiskit-ibmq-provider
    

Installation

  1. Clone the repository to your local machine:
    git clone https://github.com/rohansikder/DeutschsAlgorithm.git
    

Credits

This project was created by Rohan Sikder for ATU as a part of the Emerging Technologies Module.

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This repository provides a comprehensive exploration of Deutsch’s Algorithm within the realm of quantum computing

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